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Hello, I am Priyanshu Prajapati. I am currently a final year student at VIT BHOPAL. I am persuing B.Tech specilization in Cloud Computing and Automation.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
VectorDB-Custom-Vector-Database-with-RAG-Pipeline
April 23, 2026 – Present
A high-performance semantic search engine that converts text into vectors and retrieves relevant results in real time. It combines advanced indexing (HNSW, KD-Tree) with a RAG pipeline using a local LLM for accurate, context-aware answers. Built in C++ with a REST API and interactive UI.
View ProjectDPI-Engine-Deep-Packet-Inspection-System
April 23, 2026 – Present
A high-performance network analysis system that inspects packet-level traffic to identify and filter applications. It parses network protocols, tracks flows using 5-tuples, and extracts domains via TLS SNI for classification. Built in C++ with a multi-threaded architecture for scalable processing and real-time analytics.
View ProjectExpense-Sharing-Application
December 21, 2025 – Present
A simple expense sharing product that helps groups track shared spending and settle dues easily. Users can split expenses in multiple ways, view simplified balances, and get clear spending insights through analytics. Built with FastAPI and Next.js.
View ProjectAuto-Lake
August 20, 2025 – August 20, 2025
An automated ETL pipeline on AWS that processes JSON transactional data, converts it into Parquet format, stores it in a data lake, and makes it queryable in Amazon Athena for analysis.
View ProjectWanderWise
May 1, 2025 – August 20, 2025
An AI-powered travel planner that generates personalized itineraries based on your preferences, including trip duration, budget, and group size. Features include day-wise schedules, hotel pricing info, and trip history management. Built with React, Tailwind CSS, Firestore, and Gemini AI.
View ProjectFlip-Pair
November 19, 2024 – July 20, 2025
A memory-based card matching game with adaptive difficulty and blazing-fast performance. Features include dynamic gameplay, real-time scoring, and zero-downtime deployment using AWS S3, CloudFront, and CodePipeline. Built with HTML, CSS, and JavaScript.
View ProjectCultural Fit Analysis
The candidate has a diverse set of personal projects spanning network analysis, web development, data engineering, and AI. This breadth suggests a curious and self-motivated individual. While the target role is 'Mobile Developer', only one project ('fitness_app') explicitly mentions mobile-related technologies (Dart, C++). The other projects demonstrate a strong general software engineering aptitude, which could be transferable. The variety of projects indicates a willingness to learn and explore different domains, which can be a positive cultural fit for dynamic environments.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a focus on building functional systems and exploring various technologies. However, without specific behavioral or psychometric test results, it is difficult to assess soft skills like teamwork, problem-solving approach, or adaptability. The psychometric test score is 0, indicating no data for evaluation.